.Machine Learning Engineer | hackajob | Portugal hackajob is a matching platform partnering with Tripadvisor helping them to hire the best talent and build the future. Job Description Tripadvisor is looking for an exceptional scientist to join their Machine Learning Team, focusing primarily on the Tripadvisor Experiences business. Their Experiences vertical provides customers with a collection of over 300K bookable products – experiences like glacier hikes in Alaska, guided walking tours in Lisbon, swimming with pigs in the Bahamas, and many more. The fast-growing user and product spaces pose a significant challenge for us: how to match users with experiences that are relevant to them, particularly in international markets where they hope to grow their footprint even further. As a Machine Learning Scientist working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, particularly focusing on sort and recommendations. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow. They are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you'll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers. You'll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. Finally, you will also be provided the environment to grow technically and personally into a leader while contributing to the team. What You Will Do: Participate in the design of machine learning models to solve a variety of core business problems across the Experiences business. Seek out new opportunities to apply data science and machine learning in the Experiences space. Prototype, evaluate, deploy, and maintain new models in production. Design AB tests and analyze their results. Discover new ways to analyze and interpret the data. Communicate progress and interpretation of experimental results to technical and business stakeholders. Participate in the determination of next steps for each project. Skills & Experience: PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred. For Masters candidates, 2+ years of relevant, practical experience. Strong foundation in machine learning and statistics. Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn). Ability to interpret and write complex SQL queries. Experience with big data technologies, such as Hive and Spark. Experience with the deployment and maintenance of models – tools like Kubernetes, MLflow, AWS, etc
